We also provide consulting on system introduction and improvement of business processes. It tackles the need to change leaders' mindsets and evolve employees to develop a competitive advantage continuously.A company that develops web systems and applications, builds and operates IT infrastructure such as cloud. Organizations also need to change their strategic thinking and management style. Nevertheless, it is not only about coping with the emerging disruptive technologies. The paper argues that organizations can no longer ignore this rapid development and must change through smart integration of digital technologies, processes, and competencies across all levels and functions. This systematic literature review covered 13 published articles since 2016. This paper bridges this gap by systematically synthesising previous related literature.
Therefore, today's organisational management is constantly concerned with the notions of disruptive technologies that could create much more value than the existing ones. However, today, technology is evolving quickly and dramatically reshaping industries and business environments, and disruptive technologies will remain a dominant theme in the years ahead. To capture these technologies' benefits and keep up with the competitors, they must pursue large-scale changes in the operating system, business models, and organisation structure. Organisations face tremendous pressures and challenges associated with the rapid development of disruptive technologies. Accordingly, new approaches to convergence should ensure that executives address the new technology demands to obtain significant gains in efficiency. The study recommends that successful and effective integration will enhance the development of new business models as well as the digital transformation of market corporations. The findings indicated that the integration challenges influencing the effective operations of blockchain, AI, and IoT as a single system involve security, scalability, accountability, and trust of communications. The exploratory research methodology was used in analyzing the issues affecting the integration of blockchain, artificial intelligence (AI), and the internet of things (IoT). This study offers a comprehensive exploratory appraisal of the issues influencing the successful integration of IoT and blockchain in regards to functionality and effectiveness of security, trust, and flawless communication issues. The introduction of the hybrid technique relies on the prediction performance that strives to override the limitations of any available architectural scheme.
The study argued that the recent developments in the field of IoT and blockchain prediction have involved the integration of innumerable classification schemes to establish a hybrid model. The purpose of this study is to appraise the integration or convergence issues influencing the mutual functioning of blockchain, AI, and IoT.
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